Using distant supervision to augment manually annotated data for relation extraction
Significant progress has been made in applying deep learning on natural language processing tasks recently. However, deep learning models typically require a large amount of annotated training data while often only small labeled datasets are available for many natural language processing tasks in bi...
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Veröffentlicht in: | PloS one 2019-07, Vol.14 (7), p.e0216913 |
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Sprache: | eng |
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